Relationship-Based Mobile Data Interface Segmentation
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Solution Overview
Problem
Existing mobile device interfaces are cumbersome and lead to cognitive overload when users need to navigate through multiple menus to locate and select data for transmission, making it difficult to efficiently exchange data based on relationships or contexts.
Innovation Solution
A system and method that presents a user interface allowing selection of data for transmission based on pre-defined relationship and context associations, enabling users to quickly identify and send appropriate data by selecting relationship or context associations, which can include predefined categories like Social, Personal, Business, and Default, and context-specific associations like Social Networking or Mountain Biking, facilitating intuitive data exchange.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users navigate through multiple menus to locate and select data for transmission, then data can be transmitted, but the interface becomes cumbersome and causes cognitive overload
Solution Approach 1:
The patent segments the data selection interface into relationship-based categories (e.g., Family, Friends, Colleagues) and context-based categories (e.g., Photos, Music, Videos). This segmentation allows users to quickly locate data by relationship or type without navigating through multiple hierarchical menus, thereby reducing interface complexity while maintaining ease of operation.
Solution Approach 2:
The system performs preliminary organization of data by automatically categorizing stored information into relationship-based groups and context-based types before the user needs to select it. This pre-organization eliminates the need for users to manually navigate through unstructured data, reducing cognitive overload and simplifying the selection process.
2Loss of time
If users filter through various data in menus to find desired information, then data can be located, but the process becomes time-consuming and complex
Solution Approach 1:
By segmenting data into relationship-based categories (Family, Friends, Colleagues) and context-based categories (Photos, Music, Videos), the system enables users to directly access relevant data groups without filtering through multiple menus. This segmentation dramatically reduces the time to locate data while avoiding the need for complex hierarchical navigation.
Solution Approach 2:
The patent introduces relationship-based and context-based categories as intermediary layers between the user and the actual data. These intermediaries organize and present data in meaningful groups, allowing users to quickly locate information without directly filtering through the underlying complex data structures, thus reducing both time and complexity.
3Adaptability or versatility
If data is organized in traditional menu structures, then all data can be accessed, but users experience cognitive overload when navigating and filtering
Solution Approach 1:
The system segments data into relationship-based categories (Family, Friends, Colleagues) and context-based categories (Photos, Music, Videos), maintaining comprehensive data accessibility while significantly reducing cognitive load. Users can access all data through these organized segments without being overwhelmed by traditional flat or hierarchical menu structures.
Solution Approach 2:
The interface dynamically adapts to user needs by allowing selection based on either relationship or context. The system can dynamically present different organizational views depending on the user's intent, making data accessibility flexible while keeping the interaction simple and intuitive, thereby reducing cognitive load.
Data Source
AI summary
A system and method for presenting an interface to a user of a mobile device, the interface allowing a user to identify and select data that is to be transmitted to another mobile device. In some embodiments, the interface generated by the system allows the user to select data for transmission based on relationship associations. The relationship associations, for example, may include pre-defined groupings of data that are tailored to a specific relationship between the user and another person. Accordingly, the user may employ the interface to quickly locate data that would be appropriate to transmit given the particular relationship between the user and the person to receive the data. In some embodiments, the interface generated by the system allows the user to select data for transmission based on context associations. Individual context associations may contain a smaller subset of data corresponding to a specific relationship association.